地图综合软件AutoMap的界面设计

一个好的应用程序 ,不仅要有强大的功能 ,还要有美观实用的用户界面。到目前为止 ,在众多的图形软件中还没有产生一套专门进行地图自动化综合的软件 ,尽管不少地图软件 ,例如 Dyna GEN和 MAS,在某些环节不同程度地开发了一些综合功能模块 ,但都是单项的 ,缺乏完善的解决策略 ,与完全自动化还相距很远。作者试图从使软件会思考这一角度出发 ,结合人机工程学 ,开发出了更多的自动化综合模块 ,并且做出了一套软件 Auto Map。Auto Map是一个实用型的图形编辑与综合软件 ,它的重点在于对图形的编辑和综合操作。本文介绍了有关Auto Map界面设计的指导原则及其评价     

Man–computer interactive method on cloud classification based on bispectral satellite imagery

A bispectral cloud classification method based on man-computer interactive way, i.e. a unit feature space clasification method (UFSCM), has been presented in this paper. Apart from land and water, six types of clouds including cumulonimbus, multilayer cloud system, thin / think cirrus, middle and low level clouds are recognized. The method has been tested by using more than two hundred samples, with total accuracy reaching 87.1%.     

Online Survey of Heterogeneous Users and Their Usage of the Interactive Mapping Platform WorldMap

This article reports on the results of an online survey with 290 heterogeneous users of the interactive mapping platform WorldMap and provides insights into problems faced by such users. Heterogeneous users are users with a variety of GIS skills, educational background, gender, and age categories. We investigate how they interact with online maps and analyse their experience. WorldMap represents as a case study of an online mapping platform which aims to serve researchers and users across disciplines in viewing and creating online interactive maps. We concentrate on operations that are perceived as difficult and very difficult by the majority of users as well as operations that are rarely used. Our aim is to contribute to the discussions on how to improve the design of online GIS-based mapping platforms. We conclude the paper with reflections on the results of our study and ideas for further research.     

VB环境下交互式GMT地学绘图软件的设计及实现

本文设计基于VB环境下的交互式GMT绘图软件。详细阐述VB环境下交互式GMT绘图软件总体结构,介绍GMT概述、站点分布图绘制、速度场图绘制、梯度色阶热力图绘制、时间序列图绘制、等高线图绘制和地震频率图绘制等七大模块功能,并对软件实现中相关技术问题给出处理办法。软件运行结果表明:该软件功能强、可靠性高、兼容性强,为地球科学领域各种类型的数据分析和可视化表达提供有力的工具。     

MapMosaic: dynamic layer compositing for interactive geovisualization

GIS software applications and other mapping tools enable users to correlate data from multiple layers and gain insight from the resulting visualizations. However, most of these applications only feature basic, monolithic layer compositing techniques. These techniques do not always support users effectively in their tasks, as we observed during interviews with GIS experts. We introduce MapMosaic, a novel approach based on dynamic visual compositing that enables users to interactively create and manipulate local composites of multiple vector and raster map layers, taking into account the semantics and attribute values of objects and fields in the compositing process. We evaluate MapMosaic ’s interaction model against that of QGIS (a widely used desktop GIS) and MAPublisher (a professional cartography tool) using the ‘Cognitive Dimensions’ framework and through an analytical comparison, showing that MapMosaic ’s model is more flexible and can support users more effectively in their tasks. We also report on feedback obtained from experts, which further confirms the potential of this highly dynamic approach to map layer compositing.     

数字地形图的编绘

随着计算机与信息技术的迅速发展,数字化成图方式已被广泛采用。以纸质地形图为资料底图的传统编绘方法已不适应时代需求,基于数字地形图的机助编绘方法势在必行。自动制图综合是一国际性难题,国内外学者对其进行了多年研究,但普遍认为沿无实质性突破。文中从当前实际出了,介绍一种高效,实用的人机交互编绘方法及其软件系统。     

IMPROVED MAN-COMPUTER INTERACTIVE CLASSIFICATION OF CLOUDS BASED ON BISPECTRAL SATELLITE IMAGERY

In this paper,improvement on man-computer interactive classification of clouds based onhispeetral satellite imagery has been synthesized by using the maximum likelihood automaticclustering(MLAC)and the unit feature space classification(UFSC)approaches.The improvedclassification not only shortens the time of sample-training in UFSC method,but also eliminatesthe inevitable shortcomings of the MLAC method.(e.g.,1.sample selecting and training isconfined only to one cloud image:2.the result of clustering is pretty sensitive to the selection ofinitial cluster center:3.the actual classification basically can not satisfy the supposition of normaldistribution required by MLAC method;4.errors in classification are difficult to be modified.)Moreover,it makes full use of the professionals'accumulated knowledge and experience of visualcloud classifications and the cloud report of ground observation,having ensured both the higheraccuracy of classification and its wide application as well.     

城市群、产业集群与开发区互动发展研究——以长株潭城市群为例

城市群、产业集群与开发区的协同发展是实现城市群地区可持续快速发展的重要手段。在已有文献研究的基础上,基于宏观与微观相结合的视角,梳理了城市群、产业集群与开发区三者之间的关系及互动机制。认为城市群是新型城镇化的主体形态,是产业集群和开发区发展的空间载体,城市群为开发区和产业集群发展提供生产要素、服务和市场;开发区是城市群的创新创业高地与产业集聚、集群发展的重要场所,是城市群的重要生产功能区;产业集群是产业发展的重要组织形式,是推动开发区和城市群发展的重要驱动力。产业集群与开发区共享着城市群的资源与服务,开发区通过产业集聚与创新,产业集群通过产业链延伸、耦合与创新,与城市群形成生产要素、市场交易、创新与服务等方面的多维度相互作用,最终实现三者的协同发展。基于城市群、产业集群与开发区规模、结构、职能和创新等4个方面的17个指标,采用典型相关分析法,以长株潭城市群为案例区,对城市群、产业集群与开发区两大变量组进行了互动因素与强度的量化分析,结果表明：① 长株潭城市群、产业集群与开发区已形成有效互动。其中,城市群通过经济规模、城市结构、创新投入与产出、服务职能的发展,促进产业集群的经济规模、产业集聚、经济效益与产业创新,以及开发区的建设品质、产业集聚与产业效率的发展。开发区通过产业集聚与创新效率的提高,产业集群通过产业规模、效益协同开发区效率的提升,强化了城市群规模、结构、创新与职能的发展。② 长株潭城市群通过经济规模、结构、创新与服务四类因子,对产业集群与开发区产生了全面的促进作用,但产业集群与开发区并未完全协同地促进城市群发展。③ 要进一步提升产业集群的效益与开发区的效率,加强其对城市群发展与繁荣的支撑作用,全面实现三者的多维良性互动,提高城市群的核心竞争力。     

可视分析表达技术与方法研究

目前,可视分析作为一门新兴的学科发展十分迅速,它融合可视化和自动分析两大关键模块,实现了对海量复杂数据的高效处理。人机交互作为可视分析特点之一,同时也是区分其他分析的关键点。正是由于可视分析的高效性,相关的表达方法与软件如雨后春笋般涌现出来。本文对当下流行的可视分析方法和相关软件进行对比介绍,并将可视分析与传统的数据处理相关技术进行比较,分析其特点与不同。     

城市化与生态环境交互耦合系统的基本定律

城市化与生态环境之间存在着客观的动态耦合关系,这种耦合关系可以看作是一个开放的、非平衡的、具有非线性相互作用和自组织能力的动态涨落系统,称其为城市化与生态环境交互耦合系统。根据耗散结构理论和生态需要定律理论,从理论上分析了城市化与生态环境交互耦合系统满足的六大基本定律,即耦合裂变律,动态层级律,随机涨落律,非线性协同律,阈值律和预警律,这六大定律是研究分析城市化与生态环境交互耦合过程必须遵循的基本定律。对系统揭示城市化过程与生态环境演变过程之间的交互胁迫和动态耦合关系具有重要的理论指导意义。